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[Music]
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how many of you know what a GIS is all
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of you so I prepared this speech for
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people who didn't know anything about it
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so there you go so here we go
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uh what Chris and others asked me to do
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is basically go through a profile of
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what a GIS is are any of you GIS
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practitioners
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here three four okay uh a GIS is
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actually an information system about
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geographic
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stuff and also what Chris and HG asked
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me to do is to tell you about where I'm
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from I'm from an organization called
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estri it has about 10,000
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workers we work on building geographic
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information software supporting our
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users this was a startup about five
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decades ago and uh continues to be a
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startup in some ways uh we we have about
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4 million users who are using various
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parts of our
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Technologies
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3,300 of them are utility companies
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pretty much all the big ones around the
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world
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uh this is a technology that is
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interesting to me it has always been
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interesting to me since I was just a
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kid and today as previous speakers
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including this morning speaker talked
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about our world is changing rapidly uh
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we are learning how to virtually measure
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everything that moves and
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changes and then make that
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available on networks that's just a
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profound idea like a nervous system for
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the planet
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everything that moves and changes
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pulsing and maps of course I'm a little
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biased on this maps and
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GIS are becoming a kind of essential way
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for us to understand and manage the
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stuff that's being
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measured it's a like a fundamental
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language and some of the previous
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speakers talked about that the notion of
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how do we understand this massive amount
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of data that's coming to us
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so Maps certainly are a common language
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that people understand and GIS as a
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framework that is a data framework that
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can make maps uh are are just sort of
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standing up just beginning is the way
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the way I would say
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it why is it so essential because it's
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providing not only a way to bring all
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content
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together the spatial Dimension but it's
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also providing an interesting context
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ual language because I can see the
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content in
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context and I can do that for almost
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everything demographic data uh banking
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data asset data driving cars atmosphere
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virtually everything that describes the
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world that we live in geography thus its
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name these are just a few slides that I
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pulled from our
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users in the space of utilities and
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certainly GIS has been used for asset
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management and also work management
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about assets whether it be pipes and
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wires and Facilities or whether it's
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about projects and how people are
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managing the projects or work management
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or doing emergency planning work or
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planning in
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general these users actually you are
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using Gis for optimizing or planning or
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analyzing and I'll call your attention
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here to the one on the lower left
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that's UPS today they last year they
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they they save $400
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million using GIS as a way to optimize
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their trucks and this is a company that
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already had optimized a lot of their
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networks just a great organization but
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squeezing out a few minutes here and a
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few minutes there not only saved
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enormous amounts of money but also Fuel
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and wear and tear on their trucks these
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other examples Show Site selection
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using the overlay of maps or economic
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Investments Economic Development looking
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at supply chain like movement from depos
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to um various gas stations or sap for
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example is using it to manage all of
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their Global sales these are Big
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organizations in these examples we see
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GIS being used as a a way to plan for
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and also respond during natural disaster
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events hurricanes assessing vulnerable
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populations um where is the hail
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fall um in the United States uh tracking
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hurricanes understanding who it's going
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to affect understanding the assets
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underneath it so that we can understand
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and predict in advance um the impact
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on of
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outage maps are also becoming a language
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on the web for storytelling these
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examples show story maps and today about
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30 million of these will be viewed about
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500 new story Maps will be authored and
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there's like a half a half a million of
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these story maps that are in circulation
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so people are learning and in the
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utility spaces is intriguing because
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it's like I can talk to my customers I
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can talk to The Regulators I can tell
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stories with photos and text and
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narrative around
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geography so let's back away from this
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notion a moment most people think of GIS
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as
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technology technology that they use for
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applications or technology they use for
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science but another meaning for GIS is
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that GIS is science it's the science of
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measurement it's the science of digital
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abstraction it's the science of
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visualization the science of analytics
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the science of decision support and so
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forth this diagram shows a kind of
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interesting flow from measuring our
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world to visualizing and then analyzing
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relationships and patterns and then
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driving that into the design and
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planning process and then that supported
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supporting decision support and then on
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into action and if you look at each of
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the utility companies that do apply GIS
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while they may not see it this way in
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fact they're doing little pieces of
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exactly this a kind of
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transformational process that's beyond
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simply the
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technology now I like to call this the
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science of where isn't that a cool
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statement that's sort of like a
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different way you know I've been
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fighting my entire bloody life I do GIS
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my mom never understood it nobody
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understood it actually but they would
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understand this the science of where
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which is the science of geography and
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the technology of GIS and geospatial
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Technologies this science supports these
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information systems and most of you are
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familiar with them they basically are
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about data input from design or
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transactions updating also realtime
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information and increasingly imagery and
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liar sorts of measurements and the
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outputs of these Systems Support simple
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mapmaking and and and analytics
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sometimes big analytics or monitoring
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dashboards planning and now more and
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more citizen engagement or customer
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engagement in various forms so I'll just
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assert to you that this is an
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interesting
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platform for utilities to be
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smarter its history has been okay those
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guys down the hall they're making those
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little maps and aren't they interesting
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and they support distribution and blah
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blah blah what I'm going to present to
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you is that this is moving particularly
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in the last year and a half with the
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Advent of
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services right front and center to a
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platform for managing utilities
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smarter so the gis components are
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familiar to most people they're desktops
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their apps on devices their browsers
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their servers and increasingly Services
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fed by the cloud like the weather
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service or you know all these layers are
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now becoming Services I can just take
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these dial tones and combine them in an
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integrated way because geography is an
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integrated science it looks at the
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relationships and patterns and
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connections and
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processes so this technology is moving
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from isolated cells to getting connected
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connecting to Enterprise systems that
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cut across that light up the light up
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the the office Windows of every office
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in utilities and also moving out further
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we're starting to see that utilities and
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local government and National
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governments are serving each other like
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recently I was in a utility where I saw
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a person updating a distribution line
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and behind them they had a base map I
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said oh is that your engineering base
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map he said no no no this is not this is
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not the Company's base map at all it's
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the County's base map and I didn't take
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a copy of the data I'm bringing it in as
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a map service kind of like you would
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with a Google
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map so what's occurring is
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cities counties States federal agencies
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utilities are starting to serve out
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their data as map services and they
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reflect data underneath them it's not
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just a picture so we can begin to
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integrate and combine these Services as
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networks to me that's so exciting it's
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like a little nervous system emerging
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we're we're creating a nervous system
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for the planet because all these
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measurements are now being served and
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people can integrate it and combine them
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in various
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ways so GIS let me just assert this is
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becoming a
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distributed Services platform this means
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on any device I can connect to some big
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data here some pictures from over there
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some maps from this agency and I can
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mash them up and analyze them together
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with
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analytics that's not just a Google map
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flying around like Superman this is the
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ability to bring in real data in real
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time so we simply are now saying GIS is
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getting smarter it's bringing together
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Advanced analytics real-time
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data smart mapping tools 3 and 4D
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information spatial temporal information
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and the pattern that it's being display
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displayed in or realized in is on the
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web and in the cloud um in distributed
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architectures and also available
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accessible through
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devices and we're starting to see how
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this is affecting energy companies
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utility companies it's affecting
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actually all kinds of agencies and
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companies of many types so what do we
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mean by smart first it is it integrates
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realtime data so it's integrating the
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so-called internet of things everything
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that's changing and
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moving like in smart Dubai they're
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integrating all cars all electrical
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usage all energy usage everything and
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they're bringing into spatial maps that
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they can combine and interrelate with
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their with with all their other data in
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the in the
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government and the same thing is
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happening in natural resources this is
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sort of like GIS as enabling or as a
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platform for
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iot the picture here is FEMA and that's
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their Emergency Center or the center
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picture is the Seattle Police Department
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where everything is is being brought
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together smart GIS also integrates
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imagery all types of imagery like just
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in time in
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information satellite pictures that were
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taken last
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night new drone Maps I can send up a
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drone and for a few hundred dollars I
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can have a piece of software turn it
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into an ortho map and integrate it right
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in with my
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GIS smart GIS is also about connecting
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everyone into a system of Engagement so
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that individuals can share maps and data
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with their organizations or or their
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community Through identity everybody has
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an ID
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identity smart Gus is also about
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analytics behind all of this data
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traditional spatial analytics but
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increasingly interactive analytics and
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big data analytics specifically
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interactive analytics like exploratory
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spatial bi it's kind of like Tableau
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except that the data is all spatial I
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can drag and drop and make charts and
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graphs and explore data I can also take
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my billion observations of all my
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customers or all the lightning Straits
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in America like this top one or the
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bottom one is a 40 billion pixel raster
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array looking at
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solar sight suitability it's a surface
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uh
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tool and finally smart GIS the services
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environment distributed environment can
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integrate the field so my field people
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can have devices and they're taking a
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little GIS with them except that it's
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Services dial tone into their device
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helps them navigate and when they
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collect data it's going right back into
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the Enterprise
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environment so it's connecting the field
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with the
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Enterprise it has enormous
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implications for performance and work
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and situation awareness so let me
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summarize smart GIS is about integrating
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at all it's integrating our systems of
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record like distribution assets Etc ET
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property with systems of Engagement
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everybody has an identity I'm Jack I
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have
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privileges with systems of insight where
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I can actually do analytics and create
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knowledge and unlike classic
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it all these three systems are
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integrated into one platform that means
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collaboration across the Enterprise is
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possible so mapping in
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GIS has never been so important to
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utilities that's my sense of it as this
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big data grows up as we need as we
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search for new New Frontiers for
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recreating for transforming utilities is
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is really important providing a language
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of understanding and also for creating
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better utilities but I've talked largely
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about and I live in this
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world technology world it's very
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promising
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but the the reality is the technology
00:16:02
and the smart innovations that are going
00:16:04
on even the science of where as I call
00:16:06
it or not
00:16:07
enough it's really important that
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leaders people like you here in the
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room and get a sense of this um imagine
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how you could take all the information
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and integrate it visualize it spatially
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analyze it interpret it into I mean I
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don't really care about Big Data I care
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about big understanding interpret it all
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into big understanding that can be
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decision support tools that drive
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utilities so implementing a to me as an
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outsider from your fields to me is sort
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of like essential why don't they just
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wake up and realize that utilities are
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geospatial in nature all of their assets
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are geospatial I mean we've got all
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these Financial systems we got personal
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recordkeeping systems but the core
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assets of a utility company are all
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geospatial your customers your your
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assets uh you know all of it so I think
00:17:04
the topic of this this whole conference
00:17:08
has been about designing and thinking
00:17:10
through to me that that's all uh you
00:17:13
know creating a utility for the future
00:17:15
this is I
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think foundational that geospatial
00:17:19
strategies occur so that's that's sort
00:17:22
of what I wanted to talk about uh J G
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and yeah thank
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you I think we have time for some
00:17:30
questions I know someone will yank me
00:17:31
off when we have to but do you need a
00:17:33
mic though uh yeah he needs a mic we'll
00:17:36
figure yeah okay uh my first question
00:17:38
for you is what keeps you up in terms of
00:17:41
cyber security with this unique
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perspective what's your greatest concern
00:17:45
around cyber security and
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GIS well um I guess my customers are
00:17:52
very concerned and our customers are all
00:17:54
across the Intel agencies all the
00:17:57
military organizations they all run on
00:18:00
geospatial Tech so they're right on the
00:18:03
front because they're being attacked
00:18:04
every day so being able to this isn't
00:18:07
this technology is not about some stuff
00:18:10
just hacked together and thrown together
00:18:12
it has to have layers of security built
00:18:14
into it that
00:18:16
protect well generically all of my
00:18:19
customers and utilities are not are not
00:18:21
beyond that um they're they're they're
00:18:25
front and center for for infrastructure
00:18:28
that needs to be prot protected so uh
00:18:31
everything from pki security for
00:18:34
individuals to data management security
00:18:37
to access all of this is important and
00:18:39
we worry about it a lot we have whole
00:18:41
teams that layer on top of the gis
00:18:43
technology that worry about and look at
00:18:46
um cyber security and I just say once
00:18:50
again our customers are being attacked
00:18:51
every
00:18:52
day right yeah by some of the most
00:18:57
vicious um cyber attacks that I could
00:18:59
describe I mean I have more visibility
00:19:01
than most human beings because I I'm
00:19:04
front I'm yeah we're being confronted
00:19:06
all the time not just our company but
00:19:08
our customers
00:19:11
organizations are you finding ways that
00:19:13
GIS can actually provide a layer of
00:19:15
defense or how does
00:19:17
it be not a vulnerability but an asset
00:19:20
in protecting your
00:19:22
customers well there's a lot of things I
00:19:25
guess I want to say one of them is that
00:19:26
GIS is being used in cyber security
00:19:30
to trace back geographically the
00:19:32
networks to where the origin
00:19:35
was interesting you know the sixth floor
00:19:38
in a building in an unnamed country we
00:19:41
know very well because we were able to
00:19:43
see it okay I'm glad I'm not on that six
00:19:47
floor right now and by this server and
00:19:49
that server and that server and I don't
00:19:51
mean to scare you I'm just simp saying
00:19:53
our customers include customers that are
00:19:56
looking at geospatial as a way to
00:19:59
analyze and understand better cyber
00:20:01
security threats interesting and then
00:20:03
they do analytics I'm open it up for
00:20:05
questions I bring the mic over to you
00:20:09
yeah the way you described the sourcing
00:20:12
of the data into it almost sounded very
00:20:14
open source almost Wikipedia like I mean
00:20:18
it had that it kind of felt like that so
00:20:20
how do you who can contribute data and
00:20:24
how do you verify the validity of that
00:20:28
data that it's truth and not somebody's
00:20:32
hacked version of the truth when they
00:20:34
put the data into the
00:20:36
system yeah it's a really good question
00:20:39
so we
00:20:41
build
00:20:44
software that can be we buildt software
00:20:47
that can be on premises that's where
00:20:51
most of our software is so in your own
00:20:55
infrastructure in your own big server
00:20:57
farm and
00:20:59
um and then we also build a cloud
00:21:03
platform just like Salesforce we have 4
00:21:05
million subscribers to that in that
00:21:09
platform users share their data or they
00:21:12
don't share their data in that
00:21:14
environment some of it is definitely
00:21:16
open-source content
00:21:18
sharing in that platform also there's a
00:21:21
lot of open- source app sharing and a
00:21:24
lot of innovation is happening so just
00:21:26
like Google we have a base map for the
00:21:27
world we have imagery for the world we
00:21:30
have 600 layers of demographics and
00:21:33
natural resource data for the entire
00:21:34
planet so it's like a big living atalyst
00:21:37
that our users subscribe to and then
00:21:39
they sometimes will put their data in
00:21:41
the cloud and overlay it against that
00:21:43
open more open data and uh in the last
00:21:47
three years 8 million data sets have
00:21:49
been shared by our users so that other
00:21:52
users can use it so in that sense yes
00:21:54
it's sort of Open Source or open data
00:21:57
open geodata
00:21:59
does that that answer your
00:22:01
question each data set that people yeah
00:22:04
is it is it real each data set that
00:22:06
people shares carries a metadata stamp
00:22:09
with it and a whole uh record of who
00:22:12
created it and you know so when USGS
00:22:15
shares a piece of data it has their
00:22:18
stamp on it it has their metadata and
00:22:20
origin and Trace back how it was created
00:22:23
um I mean there's a lot of we we support
00:22:26
now 6,000 schools K through 12 school
00:22:28
schools with our software free Across
00:22:31
America lots of kids are sharing data
00:22:33
you know every day so how do you what's
00:22:36
the metadata stamp well Roosevelt high
00:22:39
Johnny Williams he did this you know
00:22:41
something like that at the other end of
00:22:43
the scale you have NG the National
00:22:45
geospatial Intelligence Agency who's
00:22:47
sharing for example climate change on in
00:22:50
the Arctic and just like any metadata
00:22:54
you check it out so yeah so what I'm
00:22:57
going to do now is we have the ability
00:22:59
to bring um Bill and Ian to the stage
00:23:03
yeah want come up in we'll expand the
00:23:05
we'll expand the conversation stay there
00:23:06
bring a cherry in yeah come on in I'll
00:23:08
get a
00:23:10
chair okay uh I'm uh probably the only
00:23:14
Australian in the room so if you don't
00:23:16
get the accent it's Australian bit of a
00:23:19
mix between Victoria and Queensland uh
00:23:22
here McLoud uh I um work for a a company
00:23:27
called enzen doing digital ass
00:23:28
management and uh and and uh uh the
00:23:33
energy manager type ra I was the uh CEO
00:23:36
of uron energy corporation before it was
00:23:38
merged with uh enx and also on the
00:23:41
Queensland future board advisor to a
00:23:44
number of companies as well so I love I
00:23:46
love uh space and Bill do you want to
00:23:48
introduce yourself sure my name is Bill
00:23:50
me and my title is director of utility
00:23:52
Solutions here at ezri so 25 years ago I
00:23:56
met Jack and I kind of heard his video
00:23:58
Vision uh 20 years ago I actually began
00:24:02
to really listen to Jack and build my
00:24:04
vision and then 15 years ago I joined
00:24:07
the company so I kind of run the utility
00:24:09
practice for
00:24:12
Ezra yeah thanks for that bill uh look
00:24:14
my my interest in in spatial uh in in
00:24:18
uron we actually had a big problem
00:24:20
around vegetation and the environment we
00:24:22
didn't really understand how how our
00:24:24
assets were relating to the environment
00:24:26
I couldn't see it was a big black hole I
00:24:28
could see how much I was spending on the
00:24:30
contractors though it was about $104
00:24:32
million a year so so I could physically
00:24:35
go out and test these assets Etc but I
00:24:37
couldn't see the environment um uh in
00:24:40
terms of the ezri product and and
00:24:42
location I love that thing about the
00:24:44
science of wear I think that's fantastic
00:24:46
I'm sure your mother would would love
00:24:47
that how how do you see the different
00:24:50
applications into the traditional uh
00:24:53
distribution business utility business
00:24:56
and what about the future we got all
00:24:57
this transactive energy going on we've
00:24:59
got batteries out there well certainly
00:25:00
Australia's Got a lot of PV 30% of the
00:25:04
houses in my patch had PVS on the roof
00:25:06
how do you deal with those sorts of
00:25:07
issues with uh with um spatial
00:25:12
information so Bill you yeah go ahead
00:25:14
you start checking I'll follow up well
00:25:16
the tradition the traditional
00:25:19
applications of GIS were Asset
00:25:21
Management where the lines where are the
00:25:23
devices where is the switches all of
00:25:25
that and the energy companies have spent
00:25:28
billions on automating that sort of like
00:25:31
automating all the drawings and then
00:25:33
putting data behind it but there are at
00:25:35
least a dozen other departmental systems
00:25:40
customer management market research
00:25:43
vegetation management for example in
00:25:45
your case uh
00:25:47
Transportation U well that GIS have been
00:25:51
growing up
00:25:53
into and now there's some new ones
00:25:55
because of the Advent of Big Data
00:25:57
capabilities and the integration of
00:25:59
imagery there's just all kinds of new
00:26:01
capabilities so the services environment
00:26:04
that I described can take these sort of
00:26:07
stovepipe traditional systems and
00:26:10
Federate them together so I see maybe to
00:26:12
answer your question Ian there's two
00:26:14
things that are occurring one is spatial
00:26:16
is going into everything
00:26:18
else it's becoming front and center in
00:26:22
the it organizations people are finding
00:26:25
spatial keys are important and relevant
00:26:27
for running their business and the
00:26:30
second thing is that the distributed
00:26:32
systems are now servering themselves
00:26:35
they're becoming Services rather than
00:26:37
database cans they may have a database
00:26:39
can but they're serving it out as rest
00:26:42
services so this means that I can
00:26:44
achieve Enterprise Integration of all
00:26:47
these stove pipes through map
00:26:49
integration like map overlay I can see
00:26:51
where my customers are from this service
00:26:54
and where my tax districts are from that
00:26:57
service I combine them
00:26:58
I can do analytics dynamically and in
00:27:01
the past you had to put it all in a
00:27:03
database so this combination of of an
00:27:06
Enterprise approach through services and
00:27:09
this whole new bunch of Technology like
00:27:11
real-time data big data analytics uh in
00:27:15
dimensional SpaceTime tools that that's
00:27:19
it's like this whole boatload of stuff
00:27:21
arrived and utilities are starting to
00:27:23
pick it up but they've got to have
00:27:25
Vision to bring it into their
00:27:27
organizations it isn't just just the old
00:27:29
automation of maps anymore that does
00:27:31
that answer what you're talking about no
00:27:33
that's great I think uh being able to
00:27:34
visualize it through a portal and giving
00:27:37
I once went to our people and said well
00:27:39
what if I could replicate the experience
00:27:40
you have on the web at work rather than
00:27:43
going into your GIS your erps those
00:27:46
sorts of things what if I could make it
00:27:48
that simple and I think the spatial
00:27:50
actually does that what's what's your
00:27:51
view bill what I've got a couple of
00:27:53
stories I always tell stories when I was
00:27:54
working for the power company we always
00:27:57
did uh things sort of in reverse order
00:28:00
so for example instead of U digging up
00:28:04
the sidewalk before the city pav the
00:28:06
street we would always dig the sidewalk
00:28:09
up after they pav the street and and so
00:28:13
why couldn't it why is it so hard to be
00:28:15
able to find out what the paving
00:28:17
schedule is for the city and the digging
00:28:19
schedule for the utility why is that so
00:28:21
hard and I think I see people shaking
00:28:24
their heads because they know that that
00:28:25
happens the technology today is I could
00:28:28
create and I can create a web service of
00:28:31
my Paving schedule as the city and a web
00:28:34
service of the uh digging schedule for
00:28:36
the utility and simply put them together
00:28:39
and I can then bring in a whole bunch of
00:28:41
other s other like weather and all of
00:28:43
this sort of stuff to be able to do what
00:28:46
now we call spatial analysis or gaining
00:28:49
insight as to what the heck is going on
00:28:51
right now so that's just simple a simple
00:28:53
story of how we could do things so much
00:28:56
better and we can also wrap that into a
00:28:59
app so it isn't just these maps you can
00:29:03
mash them up and then turn it into an
00:29:05
app yeah so if something fires up in one
00:29:07
of these distributed data sets the app
00:29:10
maybe notifies me or you know does
00:29:13
whatever it does one other point is that
00:29:16
the utility industry employees are now
00:29:19
in the OS probably on an average of What
00:29:22
52 54 years old I always thought that
00:29:25
sounded young until now it's sort of old
00:29:28
so um but what happens is there's a lot
00:29:31
of knowledge walking out the door and
00:29:34
now we have to sort of replace that
00:29:35
knowledge with more science based like
00:29:38
the spatial analytics people sort of
00:29:40
knew stuff right they they kind of know
00:29:42
stuff I know where things are those
00:29:44
people are gone we need to have systems
00:29:47
and Science in place to understand the
00:29:49
impact not just of where things are but
00:29:51
how it impacts the whole community and
00:29:54
that's really what GIS does very well a
00:29:56
nervous system yeah yeah look I think
00:29:59
you're right in ter terms of the science
00:30:00
and mass that sits behind there before
00:30:02
you know in our our case we had 160,000
00:30:05
km of assets it was a million square
00:30:08
kilometers uh and what do I know you
00:30:11
know how do I know what's going on out
00:30:13
there what's the risk profile of that
00:30:14
area so um knowing knowing what's out
00:30:19
there understanding that risk is is
00:30:21
different to these systems because you
00:30:22
can bring it all together yeah yeah just
00:30:24
r a uh so we we had uh in Queen land
00:30:28
just yesterday we had Cyclone hit
00:30:31
Cyclone Debbie hit Central Queensland uh
00:30:34
I was here last year in October and you
00:30:35
had Matthew hit the coast can you give
00:30:38
me a bit of an idea on I guess what we
00:30:41
see let's not talk about climate change
00:30:43
and all those sorts of things I remember
00:30:44
Rod West putting up a a slide when I got
00:30:46
him over to Australia at one stage he
00:30:48
said don't want to talk about that but
00:30:49
here are the events and here is the
00:30:52
here's the uh you know how often they're
00:30:54
now happening so let's not worry about
00:30:57
the science it's just happening more and
00:30:59
more so disaster resilience and spatial
00:31:02
intelligence how have you been using
00:31:04
that across the world to help utilities
00:31:07
and what can we do extra in that space
00:31:09
to me the big
00:31:11
excitement well again a story of as
00:31:14
Katrina huge Monumental impact on this
00:31:18
country and nobody was able to
00:31:21
collaborate that event 10 years later
00:31:24
whatever it was 10 or 15 years later
00:31:26
Sandy hit New York
00:31:28
at that time it was dramatically
00:31:30
different FEMA had services that the
00:31:33
city could use the city was sharing
00:31:36
services that FEMA could use state
00:31:40
agencies started collaborating and I
00:31:42
mean it was nothing it was not perfect
00:31:45
by any means but suddenly we had
00:31:47
collaboration built around collaborative
00:31:49
services and that changed the game
00:31:52
that's one answer the other answer is
00:31:54
emergency response in utility compan
00:31:57
companies is going to be stepped up the
00:32:00
dials are stepping up and you're
00:32:01
speaking to it as a result of climate
00:32:03
change um yeah that's those are the two
00:32:06
big things and and what about planning
00:32:08
for the future I guess we went through
00:32:10
an exercise of starting to use all these
00:32:12
data overlays to um plan the resiliency
00:32:16
of the network and I remember a May
00:32:18
saying to me at one stage well in we
00:32:20
don't want you to spend more money I
00:32:21
said look it's not about spending money
00:32:24
I'll spend the same amount of money but
00:32:25
I'll do it much wiser than I otherwise
00:32:28
would well there's the there's the
00:32:29
long-term planning and Bill you'll
00:32:30
probably have something to say about
00:32:31
that but when Katrina hit how many of
00:32:34
you remember that actually so when
00:32:36
Katrina hit it went right up you know
00:32:39
into Louisiana but right after it there
00:32:41
was another hurricane that went up into
00:32:43
Texas you recall what that was was it
00:32:47
that's right and it was the most amazing
00:32:50
experience um because let's see what's
00:32:53
the utility here Center Point any Center
00:32:55
Point yeah right EXC excuse me those of
00:32:58
you from Centerpoint uh anyway what
00:33:00
Centerpoint did was they took the
00:33:02
hurricane track and put it onto a map
00:33:06
and then they generated a digital buffer
00:33:08
zone around that hurricane track any of
00:33:12
you here involved in this and then they
00:33:15
overlaid that buffer zone that kind of
00:33:18
like a Frankfurter you know shaped thing
00:33:22
on top of all their assets and they made
00:33:25
a recording tabular recording of all the
00:33:27
assets asss are going to be affected by
00:33:29
that thing and then they loaded their
00:33:31
truck with all those assets loaded the
00:33:33
trucks with all those assets drove them
00:33:35
right down where the hurricane was going
00:33:36
to go and then went to the side and then
00:33:38
the hurricane sure enough went right up
00:33:40
that alley all those things were wiped
00:33:43
out and they just drove the trucks in
00:33:45
and replaced everything in days that was
00:33:47
all GIS driven in contrast here um here
00:33:52
in I mean in Louisiana nothing like that
00:33:55
was planned and as a result I mean it
00:33:57
was weeks and months before they were
00:33:59
able to restore power to many locations
00:34:02
so I think G's geospatial thinking is
00:34:06
not only relevant I think for real time
00:34:09
it's also uh relevant for near real time
00:34:14
and then it's also relevant probably
00:34:16
what you want to speak about about
00:34:17
planning well just the long term is that
00:34:20
I always think of risk is equal to
00:34:22
vulnerability plus consequence and in in
00:34:26
and I worked for power company for many
00:34:27
years and we kind of always looked in
00:34:30
silos we looked at our own data but the
00:34:32
ability to bring in lots more data
00:34:35
together all of a sudden gets that aha
00:34:37
we have got really problems and and I
00:34:40
think of even super storm Sandy you know
00:34:42
where where do people have the flood
00:34:44
maps in the utility company well it's in
00:34:45
some who has the flood maps nobody knew
00:34:48
bringing in the flood maps the flood
00:34:50
gauges the real-time data and now all of
00:34:52
a sudden it's aha we got a problem here
00:34:55
we'll deploy our resources and in the
00:34:56
long term we'll be able to spend our
00:34:58
money over there well yeah I think
00:35:00
utilities are going to operate I mean
00:35:02
not that they don't operate now but
00:35:03
they're going to operate
00:35:05
digitally simultaneously all different
00:35:08
parts of the it'll it'll operate with
00:35:11
simultaneous measurement will be
00:35:14
happening in the field with devices onto
00:35:17
digital maps in the cloud where control
00:35:20
rooms can see what's was being measured
00:35:22
and there'll be action happening so
00:35:24
we're going to compress I mean it used
00:35:25
to be you send out a field crew they
00:35:27
measure then they
00:35:28
get eventually they react that's all
00:35:31
becoming real time you're measuring at
00:35:33
the same time you're acting so this the
00:35:36
the big thing for for digital
00:35:38
transformation for me is
00:35:40
simultaneity organizations will operate
00:35:43
at the speed of light and they'll use
00:35:45
maps as a language to really understand
00:35:47
it because it's not going to be about
00:35:48
data and we won't have time to do that
00:35:50
and one of our customers is who World
00:35:53
Health Organization they're they're
00:35:56
doing immunization this week in Baghdad
00:35:59
Iraq polio immunization and the
00:36:03
immunizers are using a device they're
00:36:05
putting the immunization record on this
00:36:08
digital map and in Geneva who they're
00:36:12
actually looking at and tracking this
00:36:14
and giving the immunizers
00:36:16
direction and they can do analysis in
00:36:19
real time they can do Management in real
00:36:20
time and that little example that's
00:36:23
that's the example by the way that shut
00:36:24
Ebola down in West Africa that that's
00:36:27
the kind of Tech that needs to go into
00:36:28
utilities so we're we're not only real-
00:36:31
time measuring voltage but we're real
00:36:33
time measuring where the workforce is
00:36:34
and what they're doing and we're
00:36:36
aggregating it and we're seeing it and
00:36:38
driving you know the management of it
00:36:41
okay U we do have to go I think we've
00:36:45
got the the two-minute warning so we do
00:36:46
have to go so look I I I I certainly
00:36:49
just wrap up by saying fantastic having
00:36:51
you here Jack for inviting me by the way
00:36:54
you're a leader in the industry I love
00:36:55
spatial stuff so uh look it will make a
00:36:58
real difference whether it's resilience
00:37:00
whether it is uh putting distributed
00:37:02
energy resources in there Society
00:37:04
sharing things you know this is a
00:37:05
sharing Society so uh understanding
00:37:08
where those resources are and connecting
00:37:10
them and sharing them and measuring is
00:37:12
is extremely important so thank you very
00:37:15
much for coming thank you Bill you're
00:37:17
welcome uh and thank you everyone else
00:37:20
[Applause]
00:37:21
thank by the way if anybody wants more
00:37:24
inform
